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Satellite Imagery of OL10 3DD

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Satellite Zoom

Social Classifications

The 'social class' of a person tends to be based on occupation. It is a very broad measure.

The social class of residents of OL10 3DD is C1C2DE and is shaded blue below. Click on any letter below for details about the Social Classification.

A B C1 C2 D E

Identity Theft

Identity Theft in OL10 3DD

Based on information in the Cameo profile, many people in OL10 3DD travel to work by car or motorbike.

A driving licence is a valuable document for an identity thief, so it is important that you don't carry it with you unless it's needed, and that you store it in a secure location at home.

Reduce your exposure to Identity Theft

Local Area Map of OL10 3DD

Google Map
Map Zoom

House Prices In OL10 3DD

When a house sells, the sale price is reported to HM Land Registry, which publishes average prices and the number of sales recorded each quarter.

Jul 2011
to Jun 2012
Jul 2010
to Jun 2011

Detached

£173,060
(10 sold)
£190,337
(8 sold)

Semi-Detached

£121,740
(16 sold)
£131,804
(23 sold)

Terraced

£69,698
(33 sold)
£79,457
(35 sold)

Flats

£0
(0 sold)
£0
(0 sold)

Celebrity/Famous Postcodes

Browse some surprising, and not so surprising, results.

OL10 3DD, United Kingdom

Financial Risk in OL10 3DD

Public databases such as the Register of Court Judgments and Insolvency Records are combined with census data and 'lifestyle' information collected from questionnaires to evaluate the average financial risk in a postcode.

Average Credit Rating & Credit Score

Using the Cameo financial profile for the residents of OL10 3DD, this has been evaluated as:

750 out of 1000

How This Compares To The UK Average

When compared to the rest of the UK, this score is around average.

OL10 3DD: 750
0
1000
UK Average: 750

You can compare this postcode-based Credit Score to your own by using either our Free Credit Score service, or more accurately, and based on your payment history, when you purchase one of our market leading Credit Reports.

Families in OL10 3DD

Compare information held about OL10 3DD, sourced from two geodemographic database providers, Cameo and Censation.

 
Cameo
Censation
Family Composition
Singles, families and single parents
Couples whose children have left home, and some elderly people
Social Grade
C1C2DE
Higher than average levels of social classification E
Religion
Not provided
Higher than average levels of christians
Average Age
Mixed, with no specific age group
65 to 84
Qualifications
A low number of graduates, most educated to GCSE standard
Slightly higher than average proportion of people with no qualifications
Affluence
Not provided
Struggling
Marital Status
Not provided
Higher than average levels of people who have been widowed
Ethnic Origin
Predominantly white
Not provided

Jobs in OL10 3DD

Geodemographic data is grouped into 1 of 50 or so postcode classifications. This information reflects that classification, so it isn't always representative.

 
Cameo
Censation
Employment Status
Average unemployment levels
Many economically inactive particularly including retired
Employment Type
Manual/industrial workers
Higher than average levels of process support staff or elementary occupations
Typical Employer
Primary industries such as farming and mining, manufacturing industries such as brewing and steel fabrication, and service industries such as tourism and retail
Manufacturing or retail
No. of Directors
There are very few company directors
Not provided
Income Levels
Not provided
Higher than average levels of people earning less than £10,000
Travel To Work
Car/motorbike, walk or cycle
Not provided

Property in OL10 3DD

Compare how the two geodemographic database providers describe properties in OL10 3DD. Remember this is based on the postcode classification, so may not be representative of the actual mix of properties in OL10 3DD.

 
Cameo
Censation
Housing Type
Semi-detached or terraced
Mixed housing particularly with some semi-detached
Tenure
Mortgaged or housing association
Higher than average levels of properties privately or socially rented
General House Price
Low prices
Less than £100K
Length of Stay
Over 4 years
Not provided
House Size
Below average sized dwellings
Not provided

Lifestyle in OL10 3DD

Derived from census and survey results, this section gives some broad indicators of how the residents of this postcode live.

 
Cameo
Censation
Newspapers
Tabloid
Higher than average levels of people read tabloids
Mail Order
Above average take up
Slightly higher proportion of people than average never respond
Internet Usage
Below average usage
Not provided
Car Ownership
Below average
Not provided
Charity
Not provided
Higher than average levels of people who sometimes donate

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Cameo

Cameo

Cameo™ is owned by Eurodirect Marketing and is one of a handful of geodemographic databases that are commercially available in the UK. Another is Censation, which you can compare directly on checkmyfile.

Cameo™ classes every postcode into one of around 50 postcode classifications, which in turn are based on information from many sources including insolvency and court information, questionnaires and census data. Geodemographic data can often be one of the components of the calculation of some credit scores, can dictate the amount and type of junk mail you receive and is also used by retail stores and supermarkets to help locate new shops in areas mostly likely to suit their customers.

Please note that the same postcode can be classified quite differently by different geodemographic companies.

Censation

Censation

Censation™, owned by AFD Software, classifies every UK postcode using the latest and most comprehensive data about where people live, how affluent or deprived they are and what 'life stage' they are in. Information about housing, employment, qualifications - over 600 variables from the latest UK Census - are analysed together with residential and commercial data and then validated further using a life-style database.

There are several similar databases. You can compare how this postcode is rated in the Cameo database. Please note that classifications can and do differ on different databases.

Geodemographic Data

Geodemographic data attempts to classify every postcode into one of around just 50 classifications. These are then used by marketing people to target goods and services and by others to site out of town shopping centres, or supermarkets. It is also used in credit scorecards to give a measure of risk, especially if other information is not available from anywhere else. The impact of geodemographic data on your credit score is relatively small compared to other things, such as your age or your residential status.

When putting together geodemographic data, statisticians use census based information, together with information derived from consumer questionnaires (for example, the ones that offer shopping vouchers in return), and data from credit reference agencies. The full census only happens once every 10 years and consumers are increasingly giving less accurate responses to questionnaires, so it is inevitable that some postcodes will be classified incorrectly because of out of date census information or poor quality responses from questionnaires.

We think it's very important that this data should be easy to access and interpret, so that if there is any error or anomaly, this can be passed back to the people who own the data, so that the classification can be re-evaluated.

Over 20,000 people check postcodes on checkmyfile every day.

It's important to remember the limitations of trying to describe every area in the UK within the constraints of just 50 types. The general description is usually correct, but some of the detail may be very different.

Remember, we don't own the data so we can't amend it ourselves, but we can feed information back to the people who can.

Postcode Classifications

There are around 50 or so 'model' classifications for all postcodes in the UK. They are a general view of various aspects of a postcode, and rarely do all parts of the description of a postcode classification match every aspect of the actual postcode itself.

Because they are generalisations, they help marketing people to identify postcode areas that contain people with similar, but not exact, lifestyles across the UK.

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